Study on optimal allocation of irrigation water sources to restore groundwater in Jinghui Irrigation District

Agricultural water scarcity is a global problem and this reinforces the need for optimal allocation of irrigation water resources. However, decision makers are challenged by the complexity of fluctuating stream condition and irrigation quota as well as the dynamic changes of the field water cycle process, which make optimal allocation more complex. A two-stage chance-constrained programming model with random parameters in the left- and right-hand sides of constraints considering field water cycle process has been developed for agricultural irrigation water allocation. The model is capable of generating reasonable irrigation allocation strategies considering water transformation among crop evapotranspiration, precipitation, irrigation, soil water content, and deep percolation. Moreover, it can deal with randomness in both the right-hand side and the left-hand side of constraints to generate schemes under different flow levels and constraint-violation risk levels, which are informative for decision makers. The Yingke irrigation district in the middle reaches of the Heihe River basin, northwest China, was used to test the developed model. Tradeoffs among different crops in different time periods under different flow levels, and dynamic changes of soil moisture and deep percolation were analyzed. Scenarios with different violating probabilities were conducted to gain insight into the sensitivity of irrigation water allocation strategies on water supply and irrigation quota. The performed analysis indicated that the proposed model can efficiently optimize agricultural irrigation water for an irrigation district with water scarcity in a stochastic environment.

Download Full-text

Coupled DNA-labeling and sequencing approach enables the detection of viable-but-non-culturable Vibrio spp. in irrigation water sources in the Chesapeake Bay watershed

Environmental Microbiome ◽

10.1186/s40793-021-00382-1 ◽

2021 ◽

Vol 16 (1) ◽

Author(s):

Leena Malayil ◽

Suhana Chattopadhyay ◽

Emmanuel F. Mongodin ◽

Amy R. Sapkota

Keyword(s):

16S Rrna ◽

Irrigation Water ◽

Brackish Water ◽

Water Sources ◽

16S Rrna Sequencing ◽

Vbnc State ◽

Recycled Water ◽

Dna Labeling ◽

Rrna Sequencing ◽

Brdu Labeling

AbstractNontraditional irrigation water sources (e.g., recycled water, brackish water) may harbor human pathogens, including Vibrio spp., that could be present in a viable-but-nonculturable (VBNC) state, stymieing current culture-based detection methods. To overcome this challenge, we coupled 5-bromo-2′-deoxyuridine (BrdU) labeling, enrichment techniques, and 16S rRNA sequencing to identify metabolically-active Vibrio spp. in nontraditional irrigation water (recycled water, pond water, non-tidal freshwater, and tidal brackish water). Our coupled BrdU-labeling and sequencing approach revealed the presence of metabolically-active Vibrio spp. at all sampling sites. Whereas, the culture-based method only detected vibrios at three of the four sites. We observed the presence of V. cholerae, V. vulnificus, and V. parahaemolyticus using both methods, while V. aesturianus and V. shilonii were detected only through our labeling/sequencing approach. Multiple other pathogens of concern to human health were also identified through our labeling/sequencing approach including P. shigelloides, B. cereus and E. cloacae. Most importantly, 16S rRNA sequencing of BrdU-labeled samples resulted in Vibrio spp. detection even when our culture-based methods resulted in negative detection. This suggests that our novel approach can effectively detect metabolically-active Vibrio spp. that may have been present in a VBNC state, refining our understanding of the prevalence of vibrios in nontraditional irrigation waters.

Download Full-text

A unique vadose zone model for shallow aquifers: the Hetao irrigation district, China

Hydrology and Earth System Sciences ◽

10.5194/hess-23-3097-2019 ◽

2019 ◽

Vol 23 (7) ◽

pp. 3097-3115 ◽

Cited By ~ 1

Author(s):

Zhongyi Liu ◽

Xingwang Wang ◽

Zailin Huo ◽

Tammo Siert Steenhuis

Keyword(s):

Field Experiment ◽

Irrigation Water ◽

Yellow River ◽

Shallow Groundwater ◽

Groundwater Table ◽

Irrigation District ◽

Zone Model ◽

Calibration And Validation ◽

Irrigation Water Use ◽

Hetao Irrigation District

Abstract. Rapid population growth is increasing pressure on the world water resources. Agriculture will require crops to be grown with less water. This is especially the case for the closed Yellow River basin, necessitating a better understanding of the fate of irrigation water in the soil. In this paper, we report on a field experiment and develop a physically based model for the shallow groundwater in the Hetao irrigation district in Inner Mongolia, in the arid middle reaches of the Yellow River. Unlike other approaches, this model recognizes that field capacity is reached when the matric potential is equal to the height above the groundwater table and not by a limiting soil conductivity. The field experiment was carried out in 2016 and 2017. Daily moisture contents at five depths in the top 90 cm and groundwater table depths were measured in two fields with a corn crop. The data collected were used for model calibration and validation. The calibration and validation results show that the model-simulated soil moisture and groundwater depth fitted well. The model can be used in areas with shallow groundwater to optimize irrigation water use and minimize tailwater losses.

Download Full-text

Antibiotic resistance and class 1 integron genes distribution in irrigation water-soil-crop continuum as a function of irrigation water sources

Environmental Pollution ◽

10.1016/j.envpol.2021.117930 ◽

2021 ◽

pp. 117930

Author(s):

Zahra shamsizadeh ◽

Mohammad Hassan Ehrampoush ◽

Mahnaz Nikaeen ◽

Farzaneh mohammadi ◽

Mehdi Mokhtari ◽

...

Keyword(s):

Antibiotic Resistance ◽

Irrigation Water ◽

Water Sources ◽

Class 1 Integron ◽

Class 1

Download Full-text

Optimal Allocation of the Irrigation Water Through a Non Linear Mathematical Model

Italian Journal of Agronomy ◽

10.4081/ija.2008.191 ◽

2008 ◽

Vol 3 (3) ◽

pp. 191 ◽

Cited By ~ 2

Author(s):

P. Rubino ◽

M. Catalano ◽

R. Rana ◽

A. Caliandro

Keyword(s):

Mathematical Model ◽

Irrigation Water ◽

Optimal Allocation ◽

Non Linear

Download Full-text

A NON-LINEAR MODEL FOR OPTIMAL ALLOCATION OF IRRIGATION WATER AND LAND UNDER ADEQUATE AND LIMITED WATER SUPPLIES: A CASE STUDY IN SOUTHERN ITALY

Irrigation and Drainage ◽

10.1002/ird.1728 ◽

2013 ◽

Vol 62 (2) ◽

pp. 145-155 ◽

Cited By ~ 4

Author(s):

Pietro Rubino ◽

Anna Maria Stellacci ◽

Roberta M. Rana ◽

Maurizia Catalano ◽

Angelo Caliandro

Keyword(s):

Linear Model ◽

Irrigation Water ◽

Optimal Allocation ◽

Southern Italy ◽

Water Supplies ◽

Non Linear

Download Full-text

Study on Double-Level Allocation of Irrigation Water Rights

10.21203/rs.3.rs-802253/v1 ◽

2021 ◽

Author(s):

Xinjian Guan ◽

Qiongying Du ◽

Wenge Zhang ◽

Baoyong Wang

Keyword(s):

Water Resources ◽

Water Consumption ◽

Optimal Allocation ◽

Water Rights ◽

Scientific Basis ◽

Water Saving ◽

Irrigation District ◽

Allocation Model ◽

Irrigation Area ◽

Irrigation Districts

Abstract Establishing and perfecting the water rights system is an important way to alleviate the shortage of water resources and realize the optimal allocation of water resources. Agriculture is an important user of water in various water-consumption industries, the confirmation of water rights in irrigation districts to farmers is the inevitable requirement for implementing fine irrigation in agricultural production. In this paper, a double-level water rights allocation model of national canals – farmer households in irrigation district is established. It takes into account the current water consumption of the canal system, the future water-saving potential and the constraint of total amount control at the canal level. It takes into account the asymmetric information of farmer households’ population and irrigation area at the farmer household level. Furthermore, the Gini coefficient method is used to construct the water rights allocation model among farmer households based on the principle of fairness. Finally, Wulanbuhe Irrigation Area in the Hetao Irrigation Area of Inner Mongolia is taken as an example. The results show that the allocated water rights of the national canals in the irrigation district are less than the current because of water-saving measures and water rights of farmer household get compensation or cut respectively. The research has fully tapped the water-saving potential of irrigation districts, refined the distribution of water rights of farmers and can provide a scientific basis for the development of water rights allocation in irrigation districts and water rights transactions between farmers.

Download Full-text

Estimating rice water requirements in the Lis Valley (Portugal) using remote sensing platforms: preliminary results for the 2020 cultivation season

10.5194/egusphere-egu21-13452 ◽

2021 ◽

Author(s):

Romeu G. Jorge ◽

Isabel P. de Lima ◽

João L.M.P. de Lima

Keyword(s):

Water Management ◽

Remote Sensing ◽

Irrigation Water ◽

Crop Yields ◽

Irrigation District ◽

Water Requirements ◽

Local Conditions ◽

Preliminary Results ◽

Sentinel 2A ◽

Rice Water

In irrigated agricultural areas, where the availability of water for irrigation does not rely on any water storage, water management requires special attention, in particular under large annual and inter-annual variability in the hydrological regime and the uncertainty of climate change. The inherent increased vulnerability of the agro-ecosystem, makes the monitoring of crop conditions and water requirements a valuable tool for improving water use efficiency and, therefore, crop yields.This presentation focus on one such agricultural area, located in the Lis Valley (Centre of Portugal), which is a rather vulnerable area also facing drainage and salinity problems. The study aims at contributing to better characterizing the temporal and spatial distribution of rice water requirements during the growing season. Irrigation water sources are the Lis River and its tributaries, which discharges depend directly from precipitation. The most important problems of water distribution in the Lis Valley irrigation district are water shortage and poor water quality in the dry summer period, aggravated by limitations of the irrigation and drainage systems that date back to the end of the 1950&#8217;s.We report preliminary results on using remote sensing data to better understand rice cropping local conditions, obtained within project GO Lis (PDR2020-101-030913) and project MEDWATERICE (PRIMA/0006/2018). Rice irrigation is traditionally conducted applying continuous flooding, which requires much more irrigation water than non-ponded crops, and therefore needs special attention. In particular, data obtained from satellite Sentinel-2A land surface imagery are compared with data obtained using an unmanned aerial vehicle (UAV). Data for rice cultivated areas during the 2020 cultivation season, together with weather and crop parameters, are used to calculate biophysical indicators and indices of water stress in the vegetation. Actual crop evapotranspiration was appraised with remote sensing based estimates of the crop coefficient (Kc) and used to assess rice water requirements. Procedures and methodologies to estimate Kc were tested, namely those based on vegetation indices such as the Normalized Difference Vegetation Index (NDVI). Results are discussed bearing in mind the usefulness of the diverse tools, based on different resolution data (Sentinel-2A and UAV), for improving the understanding of the impacts of irrigation practices on crop yield and main challenges of rice production and water management in the Lis Valley irrigation district.

Download Full-text